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Lead Software Engineer
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CREQ227346 Requisition #
P3-C3-TSTS

Sr Gen AI Engineer

Python, AWS Bedrock, Claude, Sagemaker , Machine Learning experience)

Primary Skills
8+ years of full-stack development experience
5+ years of AI/ Gen AI development
Strong proficiency in JavaScript/TypeScript, Python, or similar languages
Experience with modern frontend frameworks (React, Vue.js, Angular)
Backend development experience with REST APIs and microservices
Knowledge of AWS services, specifically AWS Bedrock, Sagemaker
Experience with generative AI models, LLM integration and Machine Learning
Understanding of prompt engineering and model optimization
Hands-on experience with foundation models (Claude, GPT, LLaMA, etc.)
Experience retrieval-augmented generation (RAG)
Knowledge of vector databases and semantic search
AWS cloud platform expertise (Lambda, API Gateway, S3, RDS, etc.)

Secondary Skills
Knowledge of financial regulatory requirements and risk frameworks.
Experience integrating AI solutions into financial workflows or trading systems.
Published work or patents in financial AI or applied machine learning.

Gen AI Engineer 
WorkMode :Hybrid
Work Location : Chennai / Hyderabad
Work Timing : 2 PM to 11 PM
Primary : GEN AI


Python, AWS Bedrock, Claude, Sagemaker , Machine Learning experience)
8+ years of full-stack development experience
5+ years of AI/ Gen AI development
Strong proficiency in JavaScript/TypeScript, Python, or similar languages
Experience with modern frontend frameworks (React, Vue.js, Angular)
Backend development experience with REST APIs and microservices
Knowledge of AWS services, specifically AWS Bedrock, Sagemaker
Experience with generative AI models, LLM integration and Machine Learning
Understanding of prompt engineering and model optimization
Hands-on experience with foundation models (Claude, GPT, LLaMA, etc.)
Experience retrieval-augmented generation (RAG)
Knowledge of vector databases and semantic search
AWS cloud platform expertise (Lambda, API Gateway, S3, RDS, etc.)
Knowledge of financial regulatory requirements and risk frameworks.
Experience integrating AI solutions into financial workflows or trading systems.
Published work or patents in financial AI or applied machine learning.

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